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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Project 2026 - San Francisco, CA

FutureScale Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, our ambitious initiative to redefine the boundaries of artificial intelligence and machine learning scalability. In this pivotal role, you will architect the next-generation infrastructure that powers our global operations, ensuring our systems are not only robust and secure but also future-proof. You will collaborate with cross-functional teams of engineers, data scientists, and product leaders to translate complex business requirements into elegant technical solutions.

At FutureScale Solutions, we don't just predict the future; we build it. If you are passionate about pushing the envelope of what is possible with AI and want to leave a lasting legacy on the industry, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for Project 2026, ensuring alignment with business goals and industry standards.
  • Design and implement scalable, distributed machine learning architectures that handle high-velocity data streams.
  • Lead a team of senior engineers and data scientists, fostering a culture of innovation, code quality, and continuous improvement.
  • Oversee the integration of cutting-edge AI models into production environments, optimizing for latency, throughput, and cost.
  • Conduct rigorous code reviews and architectural audits to ensure system reliability and security compliance.
  • Communicate complex technical concepts to non-technical stakeholders and drive strategic decision-making.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering, with at least 4 years in a leadership or architectural role.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and distributed systems.
  • Proven track record of deploying large-scale AI solutions in production environments (AWS, GCP, or Azure).
  • Strong proficiency in Python, Java, or C++, with experience in cloud-native development practices.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Distributed Systems Machine Learning Cloud Architecture Agile Methodologies System Design

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